Agent-Based Models and Complexity Science in the Age of Geospatial Big Data Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016) /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Perez, Liliana (Editor, http://id.loc.gov/vocabulary/relators/edt), Kim, Eun-Kyeong (Editor, http://id.loc.gov/vocabulary/relators/edt), Sengupta, Raja (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advances in Geographic Information Science,
• Subjects: Geographical information systems.; Computer simulation.; Big data.; Algorithms.; Geographical Information Systems/Cartography.; Simulation and Modeling.; Big Data/Analytics.; Big Data.; Algorithm Analysis and Problem Complexity.

This book contains a selection of papers presented during a special workshop on Complexity Science that took part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analy...

Table of Contents:

• 1. Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries
• 2. Leveraging Coupled Agent-Based Models to Explore the Resilience of Tightly-Coupled Land Use Systems
• 3. Deconstructing geospatial agent-based model: Sensitivity analysis of forest insect infestation model
• 4.An Agent-Based Model to Identify Migration Pathways of Refugees: the Case of Syria
• 5. Rule extraction for Agent Mobility from Animal "Big Data": Trends and Possibilities
•  6. Wealthy Hubs and Poor Chains: Constellations and Routing in the U.S. Urban Migration System
• 7. Uncovering geographic and structural characteristics of the interpersonal communication. network on Twitter: A complex networks perspective.